Cited by 68Mobile Health and mHealth ApplicationsMobile Learning in EducationICT in Developing Communities

Design and Multi-Country Validation of Text Messages for an mHealth Intervention for Primary Prevention of Progression to Hypertension in Latin America

Open access
Diez-Canseco, Francisco, Zavala-Loayza, J Alfredo, Beratarrechea, Andrea, Kanter, Rebecca, Ramirez-Zea, Manuel, Rubinstein, Adolfo, Martinez, Homero, Miranda, J Jaime·2015·JMIR mHealth and uHealth

Abstract

BACKGROUND: Mobile health (mHealth) has been posited to contribute to the reduction in health gaps and has shown fast and widespread growth in developing countries. This growth demands understanding of, and preparedness for, local cultural contexts. OBJECTIVE: To describe the design and validation of text messages (short message service, SMS) that will be used for an mHealth behavioral change intervention to prevent hypertension in three Latin American countries: Argentina, Guatemala, and Peru. METHODS: An initial set of 64 SMS text messages were designed to promote healthy lifestyles among individuals in different stages of behavior change, addressing four key domains: salt and sodium intake, fruit and vegetable intake, consumption of high fat and sugar foods, and physical activity. The 64 SMS text messages were organized into nine subsets for field validation. In each country 36 people were recruited, half of them being male. Of the participants, 4 per country evaluated each subset of SMS text messages, which contained between 6 and 8 SMS text messages regarding different key domains and stages of change. The understanding and appeal of each SMS text message was assessed using a 7-item questionnaire. The understanding and appeal ratings were used to reach a final set of 56 SMS text messages. RESULTS: Overall, each of the 64 SMS text messages received a total of 12 evaluations (4 per country). The majority of evaluations-742 out of a total of 767 (96.7%) valid responses-revealed an adequate understanding of the key idea contained in the SMS text message. On a scale from 1 to 10, the average appeal score was 8.7 points, with a range of 4 to 10 points. Based on their low scores, 8 SMS text messages per country were discarded. Once the final set of 56 SMS text messages was established, and based on feedback obtained in the field, wording and content of some SMS text messages were improved. Of the final set, 9, 8, and 16 of the SMS text messages were improved based on participant evaluations from Argentina, Guatemala, and Peru, respectively. Most SMS text messages selected for the final set (49/56, 88%) were the same in all countries, except for small wording differences. CONCLUSIONS: The final set of SMS text messages produced had very high rates of understanding and appeal in three different Latin American countries. This study highlights the importance of developing and validating a package of simple, preventative SMS text messages, grounded in evidence and theory, across three different Latin American countries with active engagement of end users.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2196/mhealth.3874

Cites

29 of 29 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [23]Global Recommendations on Physical Activity for Health 2010 Geneva, Switzerland World Health Organization http://whqlibdoc.who.int/publications/2010/9789241599979_eng.pdf 26180873

Cited by

Sorted by citations

Authors
Diez-Canseco, F., Zavala-Loayza, J. A., Beratarrechea, A., Kanter, R., Ramirez-Zea, M., Rubinstein, A., Martinez, H., & Miranda, J. J.
Affiliations
  • Universidad Peruana Cayetano Heredia (PE)
  • Instituto de Efectividad Clínica y Sanitaria (AR)
  • Institute of Nutrition of Central America and Panama (GT)
Corresponding author
Miranda, J Jaime
Venue
JMIR mHealth and uHealth
Published
2015-02-18
Volume
3
Issue
1
Pages
e19
ISSN
2291-5222 (ISSN-L)
OpenAlex
W2144449814
Cited by
68
References
29
Citations by year
2026: 2 · 2025: 5 · 2024: 4 · 2023: 6 · 2022: 3 · 2021: 9 · 2020: 8 · 2019: 8 · 2018: 11 · 2017: 3 · 2016: 4 · 2015: 5
FWCI
14.02
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • JMIR mhealth and uhealth (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Greater South Information System
Funders
  • U.S. Department of Health and Human Services (HHSN268200900033C)
  • National Institutes of Health (HHSN268200900033C, HHSN268200900028C-3-0-1)
  • National Heart, Lung, and Blood Institute (HHSN268200900033C, HHSN 268200900028C, Contract No. HHSN268200900033C, HHSN268200900028C-3-0-1)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
  • Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
Keywords
mobile health, text messaging intervention, hypertension prevention, primary prevention, behaviour change interventions, cross-cultural adaptation, Latin America, fruit and vegetable intake, physical activity, healthy lifestyle promotion, stages of change, participant feedback, Argentina, Guatemala, Peru, health communication, health disparities, health equity

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review